Supporting materials for "Widespread use of National Academies consensus reports by the American public"

This repository contains supporting materials for "Widespread use of National Academies consensus reports by the American public." This includes (1) a table providing detailed information on each category into which comments left on NASEM reports were classified; (2) Python scripts for BERT implementation and associated *yml file; (3) BERT output files and model weights for 6-category and 64-category classification of user comments. This includes a compressed file containing the necessary: *.json, *.bin and vocab.txt files to use model weights for scientific replication. The specific file names are: config.json, special_tokens_map.json, tokenizer_config.json, vocab.txt, pytorch_model.bin本仓库收录了论文《美国公众对美国国家科学院共识报告的广泛使用》的配套研究资料，具体包括： (1) 一张详细列明针对美国国家科学院（NASEM）报告所留评论的分类类别的完整信息表格； (2) 用于实现BERT模型的Python脚本及配套.yml配置文件； (3) 用于对用户评论进行6分类与64分类的BERT模型输出文件及模型权重，其中包含一个压缩文件，内含用于科学复现模型权重所需的*.json、*.bin与vocab.txt格式文件，具体文件名为：config.json、special_tokens_map.json、tokenizer_config.json、vocab.txt、pytorch_model.bin